@inproceedings{Chritoudias:2002:SLL,
opteditor = {},
optnote = {},
optorganization = {},
author = {Christopher M. Christoudias and Bogdan Georgescu and Peter Meer},
optkey = {},
optannote = {},
optseries = {},
address = IEEEAdr,
localfile = {papers/Christoudias.2002.SLL.pdf},
publisher = IEEEPub,
doi = {http://dx.doi.org/10.1109/ICPR.2002.1047421},
optmonth = {},
opturl = {},
volume = {4},
optcrossref = {},
booktitle = {Proceedings of the 16th International Conference on Pattern
Recognition (ICPR'02)},
optabstract = {Guiding image segmentation with edge information is an often
employed strategy in low level computer vision. To improve the
trade-off between the sensitivity of homogeneous region
delineation and the oversegmentation of the image, we have
incorporated a recently proposed edge magnitude/confidencemap
into a color image segmenter based on the mean shift procedure.
The new method can recover regions with weak but sharp
boundaries and thus can provide a more accurate input for high
level interpretation modules. The Edge Detection and Image
SegmentatiON (EDISON) system, available for download,
implements the proposed technique and provides a complete
toolbox for discontinuity preserving filtering, segmentation
and edge detection. },
optstatus = {address url doi},
optnumber = {},
title = {{S}ynergism in {L}ow {L}evel {V}ision},
year = {2002},
pages = {150--156},
}
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